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{ | ||
"name": "Russian Cursive Letter Classifier V1", | ||
"description": "Identify the most prominent object in the image from a set of 66 categories.", | ||
"version": "v1", | ||
"subgraph_metadata": [ | ||
{ | ||
"input_tensor_metadata": [ | ||
{ | ||
"name": "image", | ||
"description": "Input image to be classified. The expected image is 32 x 32, with three channels (red, blue, and green) per pixel. Each value in the tensor is a single byte between 0 and 255.", | ||
"content": { | ||
"content_properties_type": "ImageProperties", | ||
"content_properties": { | ||
"color_space": "RGB" | ||
} | ||
}, | ||
"stats": { | ||
"max": [ | ||
255.0 | ||
], | ||
"min": [ | ||
0.0 | ||
] | ||
} | ||
} | ||
], | ||
"output_tensor_metadata": [ | ||
{ | ||
"name": "probability", | ||
"description": "Probabilities of the 66 labels respectively.", | ||
"content": { | ||
"content_properties_type": "FeatureProperties" | ||
}, | ||
"stats": { | ||
"max": [ | ||
1.0 | ||
], | ||
"min": [ | ||
0.0 | ||
] | ||
}, | ||
"associated_files": [ | ||
{ | ||
"name": "class_names-dataset.txt", | ||
"description": "Labels for objects that the model can recognize.", | ||
"type": "TENSOR_AXIS_LABELS" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
], | ||
"author": "[email protected]", | ||
"license": "Apache License. Version 2.0 http://www.apache.org/licenses/LICENSE-2.0." | ||
} |